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Many clustering algorithms exist that estimate a cluster centroid, such as K-means, K-medoids or mean-shift, but no algorithm seems to exist that clusters data by returning exactly K meaningful modes.
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D. S. Hochbaum and D. B. Shmoys · 1985
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R. Durbin and D. Willshaw · 1987
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L. Kaufman and P. J. Rousseeuw · 1990
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Mode-finding for mixtures of Gaussian distributions
M. Á. Carreira-Perpiñán · 2000
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k k -modes clustering
A. Chaturvedi, P. E. Green, and J. D. Caroll · 2001
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Mean shift: A robust approach toward feature space analysis
D. Comaniciu and P. Meer · 2002
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On spectral clustering: Analysis and an algorithm
A. Y. Ng, M. I. Jordan, and Y. Weiss · 2002
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Mean-shift blob tracking through scale space
R. T. Collins · 2003
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Global versus local approaches to nonlinear dimensionality reduction
V. de Silva and J. B. Tenenbaum · 2003
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A k k -median algorithm with running time independent of data size
A. Meyerson, L. O’Callaghan, and S. Plotkin · 2004
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Gaussian mean shift is an EM algorithm
M. Á. Carreira-Perpiñán · 2007
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Mode-seeking via medoidshifts
Y. A. Sheikh, E. A. Khan, and T. Kanade · 2007
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Introduction to Information Retrieval
C. D. Manning, P. Raghavan, and H. Schütze · 2008
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The Elements of Statistical Learning—Data Mining, Inference and Prediction
T. J. Hastie, R. J. Tibshirani, and J. H. Friedman · 2009
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Mode-detection via median-shift
L. Shapira, S. Avidan, and A. Shamir · 2009
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Networks: An Introduction
M. E. J. Newman · 2010
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Manifold blurring mean shift algorithms for manifold denoising
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C. M. Bishop · 2006
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Acceleration strategies for Gaussian mean-shift image segmentation
M. Á. Carreira-Perpiñán · 2006
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W. Wang and M. Á. Carreira-Perpiñán · 2010
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Agglomerative mean-shift clustering
X. Yuan, B.-G. Hu, and R. He · 2010
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